Hanli Wang
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- Human Pose and Action Recognition 40
- Multimodal Machine Learning Applications 36
- Image and Video Quality Assessment 35
- Advanced Image and Video Retrieval Techniques 33
- Advanced Vision and Imaging 26
- Video Analysis and Summarization 25
- Advanced Image Processing Techniques 24
- Signal Processing top 0.5%
- Video Coding and Compression Technologies 37
- Media Technology top 2%
- Artificial Intelligence top 2%
- Co-authors
- Sam KwongPengjie TangC.‐C. Jay KuoChi-Ho TsangSudeng HuChi‐Wah KokQinyu LiBowen Zhang
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (17 papers)IEEE Transactions on Multimedia (16 papers)IEEE Transactions on Image Processing (13 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Hanli Wang
184 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 160
- Computer Vision and Pattern Recognition 1.9k
- Signal Processing 773
- Media Technology 239
- Artificial Intelligence 760
- Energy Engineering and Power Technology 28
Countries citing papers authored by Hanli Wang
This map shows the geographic impact of Hanli Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hanli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanli Wang more than expected).
Fields of papers citing papers by Hanli Wang
This network shows the impact of papers produced by Hanli Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hanli Wang. The network helps show where Hanli Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanli Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 13 | |
| 14 | 2023 | 23 | |
| 15 | 2023 | 9 | |
| 16 | 2023 | 3 | |
| 17 | 2022 | 8 | |
| 18 | CNN Features for Emotional Impact of Movies Task. | 2018 | 2 |
| 19 | MIC-TJU in MediaEval 2015 Affective Impact of Movies Task | 2015 | 18 |
| 20 | MIC-TJU at MediaEval Violent Scenes Detection (VSD) 2014 | 2014 | 7 |
About Hanli Wang
Hanli Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 194 papers that have together received 3.1k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (40 papers), Video Coding and Compression Technologies (37 papers), Multimodal Machine Learning Applications (36 papers), Image and Video Quality Assessment (35 papers), Advanced Image and Video Retrieval Techniques (33 papers), Advanced Vision and Imaging (26 papers), Video Analysis and Summarization (25 papers) and Advanced Image Processing Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Signal Processing (773 citations) and Media Technology (239 citations). Hanli Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Sam Kwong, Pengjie Tang, C.‐C. Jay Kuo, Chi-Ho Tsang, Sudeng Hu, Chi‐Wah Kok, Qinyu Li, Bowen Zhang, Tiesong Zhao and Long Yu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing, Neurocomputing and Separation and Purification Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.